摘要
研究针对高校资助育人工作中存在的信息滞后、贫困生定位不准确等问题,结合数字化技术构建了信息化共享平台,以实现贫困生数据的信息化采集和管理,并采用聚类分析算法对贫困生的行为特征进行数据挖掘,以精准预测贫困生的实际需求,从而提高帮扶工作的精准性和全面性,切实推进高校精准化、发展型资助育人工作的开展。
This research aims at the problems of information lag and inaccurate positioning of poor students in the work of college funded education,builds an information sharing platform based on digital technology to realize the information collection and management of poor students'data,and uses clustering analysis algorithm to mine the behavior characteristics of poor students to accurately predict the actual needs of poor students,so as to improve the accuracy and comprehensiveness of the assistance work,effectively promotes the development of precision and developmental funding education in colleges and universities.
作者
可佳欣
李瑞欣
Ke Jiaxin;Li Ruixin(Shanxi Jinzhong Institute of Technology,Jinzhong Shanxi 030600,China)
出处
《山西电子技术》
2023年第4期61-63,共3页
Shanxi Electronic Technology
基金
2021年度山西省高等学校哲学社会科学研究项目(2021ZSSZSX163)。
关键词
高校发展型资助育人
数据挖掘
聚类分析
development oriented funding for education in colleges and universities
data mining
cluster analysis